Engineering services across the whole platform

Service categories

• Application Engineering

  Web, mobile and backend software built to be maintained: clear architecture, tested code and interfaces that hold up as the business grows.

  Typical problems we solve

  • Line-of-business tools that are slow, hard to change or understood by one person
  • Customer-facing sites and apps that perform poorly on mobile networks
  • Legacy applications that block cloud adoption or new integrations

  • React
  • TypeScript
  • Node.js
  • .NET
  • Python
  • Java
  • Rust
  • C++

  Learn more about Application Engineering

• Cloud Engineering

  Architecture, migration and operations on Azure, AWS, Google Cloud, Oracle Cloud and IBM Cloud, designed for resilience and cost you can explain.

  Typical problems we solve

  • Cloud bills that grow faster than usage and no one can explain
  • Environments built by hand that cannot be reproduced
  • Single-region or single-instance systems with no tested recovery plan

  • Microsoft Azure
  • Amazon Web Services
  • Google Cloud Platform
  • Oracle Cloud Infrastructure
  • IBM Cloud
  • Terraform
  • Ansible

  Learn more about Cloud Engineering

• DevOps and Platform Engineering

  CI/CD, GitOps, Kubernetes, OpenShift and service mesh engineering that makes releases routine and environments consistent.

  Typical problems we solve

  • Manual, ticket-driven deployments that happen rarely and fail often
  • Configuration drift between environments
  • Clusters that work but nobody is confident upgrading

  • Docker
  • Kubernetes
  • Red Hat OpenShift
  • Azure Kubernetes Service
  • Azure Container Apps
  • Istio
  • Kyverno
  • Argo CD

  Learn more about DevOps and Platform Engineering

• AI, ML, MLOps and AIOps

  The infrastructure and pipelines that take machine learning from a notebook to a monitored production service, and AI applied where it measurably helps.

  Typical problems we solve

  • Models that work in experiments but never reach production
  • No record of which model version is serving or how it was trained
  • GPU or compute spend with no link to business value

  • Python
  • Kubernetes
  • KServe
  • MLflow
  • Azure Machine Learning
  • Amazon SageMaker
  • Vertex AI

  Learn more about AI, ML, MLOps and AIOps

• Data Engineering and Database Management

  Database architecture, migration, performance and data pipelines across MySQL, PostgreSQL, MongoDB and Azure Cosmos DB.

  Typical problems we solve

  • Queries that slow down as data grows and nobody knows why
  • Backups that exist but have never been restored
  • Migrations stalled by fear of data loss or downtime

  • MySQL
  • PostgreSQL
  • MongoDB
  • Azure Cosmos DB
  • MariaDB
  • Redis
  • Apache NiFi

  Learn more about Data Engineering and Database Management

• Network and Cybersecurity Engineering

  Secure network design, identity, TLS, container and Kubernetes security, built into infrastructure rather than bolted on.

  Typical problems we solve

  • Flat networks where any workload can reach any other
  • Shared administrator accounts and long-lived credentials
  • Containers running as root with broad permissions

  • Kyverno
  • Istio mTLS
  • Keycloak
  • Microsoft Entra ID
  • cert-manager
  • Azure Key Vault
  • Trivy

  Learn more about Network and Cybersecurity Engineering

• API and Integration Management

  API design, gateways, authentication and event-driven integration that connect your systems without turning them into a tangle.

  Typical problems we solve

  • Point-to-point integrations nobody dares to change
  • Partners integrating against undocumented or inconsistent APIs
  • No central view of who is calling which API and how often

  • Azure API Management
  • OpenAPI
  • OAuth 2.0 / OIDC
  • RabbitMQ
  • Azure Service Bus
  • Apache Kafka
  • Apache NiFi

  Learn more about API and Integration Management

• Managed Engineering and Technical Operations

  Ongoing engineering support for the platforms and applications you depend on, scoped to what you actually need.

  Typical problems we solve

  • Platforms built by a former team or vendor that nobody now owns
  • Upgrades postponed until they become urgent
  • Incidents resolved without anyone finding the cause

  • Kubernetes
  • OpenShift
  • Azure
  • AWS
  • Prometheus
  • Grafana
  • Dynatrace

  Learn more about Managed Engineering and Technical Operations